GPT-5.3 Codex vs o1 Pro
GPT-5.3 Codex vs o1 Pro: GPT-5.3 Codex is cheaper for input-heavy usage ($1.75/M vs $150.00/M input tokens), while GPT-5.3 Codex is better for long-context tasks (256,000 tokens).
Direct answer: choose GPT-5.3 Codex for lower token spend and choose GPT-5.3 Codex when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5.3 Codex
o1 Pro
Cost Differences
o1 Pro costs more than GPT-5.3 Codex
Quick Recommendation
Winner for direct API pricing: GPT-5.3 Codex. At the default workload, GPT-5.3 Codex saves about $1,323.75/month ($16,105.625/year) versus o1 Pro.
Feature Comparison
| Feature | GPT-5.3 Codex | o1 Pro |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.75/1M tokens | $150.00/1M tokens |
| Output Price | $14.00/1M tokens | $600.00/1M tokens |
| Context Window | 256,000 tokens | 200,000 tokens |
| Max Output | 32,768 tokens | 100,000 tokens |
| Category | coding | flagship |
| Capabilities | textcode | textvisioncodereasoning |
| Release Date | 3/1/2026 | 12/17/2024 |
GPT-5.3 Codex vs o1 Pro: Which Should You Choose?
Choosing between GPT-5.3 Codex and o1 Pro depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.3 Codex is the more affordable option at $1.75/1M input tokens — 99% cheaper than o1 Pro. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 200,000 for o1 Pro.
These models target different tiers: GPT-5.3 Codex is a coding model while o1 Pro is flagship. This means they're optimized for different workloads. o1 Pro targets more demanding workloads, while GPT-5.3 Codex provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.3 Codex charges $14.00/1M output tokens vs $600.00 for o1 Pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.3 Codex has the edge here at $14.00/1M output tokens.
Multimodal capabilities: o1 Pro supports vision (image inputs) while GPT-5.3 Codex is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-5.3 Codex when:
- • Budget is a primary concern
- • You need a larger context window (256,000 tokens)
- • You're already using OpenAI's API ecosystem
Choose o1 Pro when:
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 100,000 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
GPT-5.3 Codex
- • Input pricing: $1.75/M tokens
- • Output pricing: $14.00/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Trade-offs are minor in this matchup.
o1 Pro
- • Input pricing: $150.00/M tokens
- • Output pricing: $600.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 100,000 tokens
Watch out for
- • Higher input cost than GPT-5.3 Codex
- • Higher output cost than GPT-5.3 Codex
- • Smaller context window than GPT-5.3 Codex
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.3 Codex (OpenAI)
o1 Pro (OpenAI)
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